Session
Designing a Unified Data Model: Dataverse and Fabric for Operational and Analytical Workloads
Teams often duplicate data models between apps and analytics, leading to drift and inconsistent reporting. This session shows how to design a single, intentional data model where Dataverse supports operational workloads and Microsoft Fabric supports analytics without breaking app performance. You walk through table design, relationships, and ownership boundaries. Fabric pipelines are used to extract, transform, and publish analytical models while Power Apps continues to operate on transactional data.
Manoj Annavajjala
Enterprise AI Architect
Detroit, Michigan, United States
Links
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